| Grant number: | 19/13080-9 |
| Support Opportunities: | Regular Research Grants |
| Start date: | June 01, 2020 |
| End date: | November 30, 2022 |
| Field of knowledge: | Engineering - Civil Engineering - Structural Engineering |
| Agreement: | Comisión Nacional de Investigación Científica y Tecnológica (CONICYT) |
| Principal Investigator: | André Teófilo Beck |
| Grantee: | André Teófilo Beck |
| Principal researcher abroad: | Marcos Alberto Valdebenito Castillo |
| Institution abroad: | Universidad Técnica Federico Santa María (USM) , Chile |
| Principal researcher abroad: | Marcos Alberto Valdebenito Castillo |
| Institution abroad: | Universidad Técnica Federico Santa María (USM) , Chile |
| Host Institution: | Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
| City of the host institution: | São Carlos |
| Associated researchers: | Gustavo Assis da Silva |
| Associated scholarship(s): | 20/14293-3 - Management and development of software StRAnD, BP.TT |
Abstract
This research project aims at developing techniques for reliability-based optimization, focusing on the analysis and design of structural systems considering progressive collapse. In this context, progressive collapse is understood as the process where damage develops in a structural system from a local or individual component and propagates to the rest of the structure, resulting into a partial or complete collapse. Progressive collapse is a particularly challenging problem within structural mechanics, as it comprises highly non-linear and load-path behavior whose characterization becomes extremely demanding from a numerical viewpoint. On top of that, analysis of progressive collapse is subject to a high degree of uncertainty, as it is highly sensitive to several variables such as loading path, material properties, deterioration processes, etc. The novelty of this proposal arises from the development of framework for designing structures which overlaps between system reliability modelling, objectively considering progressive collapse and related uncertainties, and using modern structural optimization tools. (AU)
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